Rise of Generative AI and ChatGPT by Utpal Chakraborty, Soumyadeep Roy, Sumit Kumar Ebook

Starting with the fundamentals of machine learning, the book gradually introduces readers to the key concepts and techniques used in generative AI. Readers will learn about the different types of generative models, such as GANs and VAEs, and how they can be trained to generate images, music, text, and more. Generative AI for video generation shares a similar timeline of development with image generation. In fact, one of the key developments in the field of video generation has been the development of GANs. Thanks to their accuracy in producing realistic images, researchers have started to apply these techniques to video generation as well. One of the most notable examples of GAN-based video generation is DeepMind’s Motion to Video, which generated high-quality videos from a single image and a sequence of motions.

In the present generation, we hear more about bots, for example when we are searching on a website we find a chatbot there. Similarly, we got AI Bots to get information, there are bots to read medical tests, etc. Machines have taken the role now that we refer to as Artificial Intelligence. Further, speech recognition, computer vision, translation of languages, etc. are also certain applications of artificial intelligence. Knowledge of Artificial Intelligence is a need of the hour as the world is growing with machines.

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At Feisworld, we love simple, straightforward, and to-the-point books that target casual readers like us, business owners, entrepreneurs, creators. Turck said that the explosion in deep learning over the past several years laid the foreground for the current revolution in generative AI. When authors and publishers use our service to analyze their novels, we don’t keep the manuscript, and Marlowe doesn’t use the manuscript to improve its book comparisons without opt-in style permission.

It briefly introduces machine learning, which is the technology behind applications like recommendation systems, face recognition, and driverless automobiles. For the general reader, the author provides a succinct summary of the topic by outlining its history, crucial learning algorithms, and examples of applications. Hope this article gave you enough detail on what to expect from various books about artificial intelligence.

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One of the earliest and most well-known examples of generative AI in image synthesis is the Generative Adversarial Network (GAN) architecture introduced in the 2014 paper by I. The purpose of GANs is to generate realistic images that are indistinguishable from real images. AI has been making significant strides in recent years, and one of the areas that has seen considerable growth is generative AI.

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A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

It describes how big data is important for machine learning and how programmers use it to develop learning algorithms. Concepts such as AI, neural networks, swarm intelligence, etc., are explained in detail. The book on artificial intelligence gives examples of how machine learning is being used in our day-to-day lives and how it has infiltrated our daily existence. It also discusses the future of machine learning and the ethical and legal implications for data privacy and security. Any reader with a non-Computer Science background will find this book interesting and easy to understand.

What about using AI to generate memes. And then making money with them. Here is a simple idea you should know.

In a recent systematic literature review paper, researchers have found that the use of multimedia fosters curiosity, creativity, and critical thinking skills, as students are encouraged to explore and interact with the content actively. How generative AI will impact various categories like the law, marketing/sales, gaming, product development, and code generation. It will be useful for many categories like sales, marketing, legal, product design, code generation, and even pharmaceutical creation. My 5-min newsletter delivers practical tech strategies and tools for businesses and creators like you to work smarter, make more money, and avoid burnout. A dive into the intersection of AI and creativity, this book delves into how AI is beginning to rival human creativity in various domains such as art, music, and more.

The models that currently are showing the most potential start with a prompt from the user, much like one would prompt a platform like Midjourney today in order to render a 2D image via AI. The prompt is used to first generate 2D images via text to image generators like stable diffusion, Dall-E or Midjourney. These images are then used to train AI to generate a 360  “video” of a 3D object. Whether we’re willing to admit it or not, the world is in the midst of a digital revolution. But the focus has been on applying the technology to predictions – which is known as analytical AI.

Today the Reworked community consists of over 2 million influential employee experience, digital workplace and talent development leaders, the majority of whom are based in North America and employed by medium to large organizations. Our sister community, Yakov Livshits CMSWire gathers the world’s leading customer experience, voice of the customer, digital experience and customer service professionals. Like your interns, ChatGPT doesn’t have as sharp an appreciation of data security as your more experienced staff.

Employees appear alive to the possibilities, perhaps recognizing how much of the work many of us do today is wasting our time and skills. There’s few things more mortifying for a Brit than writing about yourself in the third person, so I thought I’d see if ChatGPT could do a better job. In this book, Cristian details the alignment problem (when the AI systems we train don’t do what we expect), all the terrible things that can and do go wrong, and the movement to fix them. In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.